tadorfer / nlprotLinks
NLP for Proteins - A paper collection
☆13Updated 5 years ago
Alternatives and similar repositories for nlprot
Users that are interested in nlprot are comparing it to the libraries listed below
Sorting:
- PaccMann models for protein language modeling☆43Updated 4 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 4 years ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆75Updated 2 years ago
- Trainable representation analysis study repository☆44Updated 3 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆75Updated 5 years ago
- A Python package for extracting protein sequence features☆62Updated 3 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- ☆111Updated 3 years ago
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆30Updated 5 months ago
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 3 years ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆41Updated 2 years ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated 3 months ago
- ☆108Updated 2 years ago
- Improving protein function prediction with synthetic feature samples created by generative adversarial networks☆22Updated 5 years ago
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆94Updated 2 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆121Updated 4 years ago
- PLM-interact: extending protein language models to predict protein-protein interactions.☆53Updated 4 months ago
- Multi-task and masked language model-based protein sequence embedding models.☆104Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆81Updated 2 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Updated last year
- An evolutionary context-integrated deep learning framework for protein engineering☆66Updated 3 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆26Updated last year
- ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…☆119Updated 2 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago